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MIT put its full multivariable calculus course online in 2007 and charged nobody a dollar for it. Lecture 34 is the final review. A professor in an orange sweater writes Unit 1 on a chalkboard and starts working through the whole semester. The camera never moves much. No editing,...

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Mark Poiler

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1,867,988 просмотров • 13 дней назад •via X (Twitter)

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MIT put its full quantum physics course online for free and the opening lecture starts with a box you can't look inside. Almost nobody finishes it. This is 8.04, Quantum Physics I, taught by Allan Adams on the MIT campus. Same room, same problem sets, same professor the tuition pays for. He skips the history and the philosophy. He builds a simple apparatus, sends things through it, and shows the result no classical picture can survive. Skip the first 10 minutes, that part is course admin. What follows is thought experiment stacked on thought experiment until superposition stops being a word and becomes the only explanation left. Every engineer arguing about quantum computing in 2026 is arguing about what happens in this hour. A systems engineer I know watched it twice with a notebook and called it the clearest teaching he'd seen since university. MIT charges $60,000 a year. This lecture costs nothing. The gate was never locked. Almost nobody walks through.
1:15:32

MIT put its full quantum physics course online for free and the opening lecture starts with a box you can't look inside. Almost nobody finishes it. This is 8.04, Quantum Physics I, taught by Allan Adams on the MIT campus. Same room, same problem sets, same professor the tuition pays for. He skips the history and the philosophy. He builds a simple apparatus, sends things through it, and shows the result no classical picture can survive. Skip the first 10 minutes, that part is course admin. What follows is thought experiment stacked on thought experiment until superposition stops being a word and becomes the only explanation left. Every engineer arguing about quantum computing in 2026 is arguing about what happens in this hour. A systems engineer I know watched it twice with a notebook and called it the clearest teaching he'd seen since university. MIT charges $60,000 a year. This lecture costs nothing. The gate was never locked. Almost nobody walks through.

xanax

14,291 просмотров • 12 дней назад

There's a physics lecture with over a million views' worth of value and almost no views. No slides. No notes. Just a green chalkboard and a man who clearly doesn't need one. The professor is V. Balakrishnan, IIT Madras. The course is Classical Physics, recorded for NPTEL — India's free national lecture archive — and quietly sitting on YouTube since 2009. What makes lecture one worth your time isn't production value. It's the opposite. It's a full subject held in one person's head, delivered in order, with nothing between him and the material. He opens with the actual boundary of the field: what classical mechanics can explain, and the precise point where it hands off to quantum theory. No hedging, no filler — every sentence finished before the next one starts. A friend who works in physics told me he went through the entire series and ranks it above courses he paid thousands of dollars for. It's been online for 17 years. Low resolution, zero marketing, still one of the best physics courses on the internet. Sometimes the best teaching in the world was never behind a paywall — it just wasn't in English-language algorithms' way of finding it.
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There's a physics lecture with over a million views' worth of value and almost no views. No slides. No notes. Just a green chalkboard and a man who clearly doesn't need one. The professor is V. Balakrishnan, IIT Madras. The course is Classical Physics, recorded for NPTEL — India's free national lecture archive — and quietly sitting on YouTube since 2009. What makes lecture one worth your time isn't production value. It's the opposite. It's a full subject held in one person's head, delivered in order, with nothing between him and the material. He opens with the actual boundary of the field: what classical mechanics can explain, and the precise point where it hands off to quantum theory. No hedging, no filler — every sentence finished before the next one starts. A friend who works in physics told me he went through the entire series and ranks it above courses he paid thousands of dollars for. It's been online for 17 years. Low resolution, zero marketing, still one of the best physics courses on the internet. Sometimes the best teaching in the world was never behind a paywall — it just wasn't in English-language algorithms' way of finding it.

Nainsi Dwivedi

12,346 просмотров • 9 дней назад

MIT filmed a calculus course in black and white decades ago and it still teaches better than most of what shipped this year. Almost nobody watches it. This is Calculus Revisited, Unit 1, Lecture 1, taught by Herb Gross. Analytic geometry from the ground up, chalk on a board, 1 camera locked in place. Gross built the course for adults returning to math after years away. No prerequisites assumed. Every idea earned in front of you instead of quoted from a textbook. The opening move is simple division written on the board. From there he shows why coordinates work at all, the thing most courses skip and every student silently fakes. Watch how slowly he goes. Each step spoken out loud, nothing left implicit, the pace of someone who expects you to actually follow. A backend engineer I know rewatched Unit 1 twice before touching linear algebra and said it fixed a gap he'd carried for 12 years. MIT put the whole course online free under Creative Commons. Production value aged badly. The teaching didn't.
35:56

MIT filmed a calculus course in black and white decades ago and it still teaches better than most of what shipped this year. Almost nobody watches it. This is Calculus Revisited, Unit 1, Lecture 1, taught by Herb Gross. Analytic geometry from the ground up, chalk on a board, 1 camera locked in place. Gross built the course for adults returning to math after years away. No prerequisites assumed. Every idea earned in front of you instead of quoted from a textbook. The opening move is simple division written on the board. From there he shows why coordinates work at all, the thing most courses skip and every student silently fakes. Watch how slowly he goes. Each step spoken out loud, nothing left implicit, the pace of someone who expects you to actually follow. A backend engineer I know rewatched Unit 1 twice before touching linear algebra and said it fixed a gap he'd carried for 12 years. MIT put the whole course online free under Creative Commons. Production value aged badly. The teaching didn't.

the lich

341,177 просмотров • 12 дней назад

An Indian institute filmed a professor teaching classical physics with no notes, no slides, and a green board. Almost nobody outside India watches it. This is Classical Physics, lecture 1, taught by V. Balakrishnan at IIT Madras, published free by NPTEL, India's national open courseware programme. Balakrishnan taught at IIT Madras for decades. Students who sat in that room describe the same thing: the whole subject held in his head, delivered in order, no paper on the podium. Lecture 1 is the introduction. What classical mechanics claims, where the claims hold, and the exact points where they stop holding and quantum takes over. Watch how he speaks. Complete sentences, no filler, each idea finished before the next begins. Rare in any lecture hall on any continent. A physicist I know worked through the whole NPTEL series and rates it above the western courses he paid for. Free on YouTube, 17 years online, low resolution, no marketing. The teaching was never concentrated in the famous universities.
48:48

An Indian institute filmed a professor teaching classical physics with no notes, no slides, and a green board. Almost nobody outside India watches it. This is Classical Physics, lecture 1, taught by V. Balakrishnan at IIT Madras, published free by NPTEL, India's national open courseware programme. Balakrishnan taught at IIT Madras for decades. Students who sat in that room describe the same thing: the whole subject held in his head, delivered in order, no paper on the podium. Lecture 1 is the introduction. What classical mechanics claims, where the claims hold, and the exact points where they stop holding and quantum takes over. Watch how he speaks. Complete sentences, no filler, each idea finished before the next begins. Rare in any lecture hall on any continent. A physicist I know worked through the whole NPTEL series and rates it above the western courses he paid for. Free on YouTube, 17 years online, low resolution, no marketing. The teaching was never concentrated in the famous universities.

xanax

3,240,313 просмотров • 10 дней назад

MIT filmed the single hour that makes all of calculus one subject instead of two. Free, uncut, chalk only. Almost nobody watches it. This is 18.01, Single Variable Calculus, lecture 19, taught by David Jerison. The First Fundamental Theorem of Calculus. Slopes and areas were separate problems for centuries. Different tools, different people, different questions. This lecture shows they were the same thing pointed in opposite directions. Every gradient computed in every training run rides on that connection. Most engineers use it daily and have never seen the proof that makes it legal. Watch the board work in the middle. He builds the link line by line, real students in the room, no software, no animation. A machine learning engineer I know rewatched it before an interview and said the chain from loss to update finally read as 1 object instead of 3 tricks. Full course free on YouTube under Creative Commons. You've been using the theorem. You've never seen it earned.
47:52

MIT filmed the single hour that makes all of calculus one subject instead of two. Free, uncut, chalk only. Almost nobody watches it. This is 18.01, Single Variable Calculus, lecture 19, taught by David Jerison. The First Fundamental Theorem of Calculus. Slopes and areas were separate problems for centuries. Different tools, different people, different questions. This lecture shows they were the same thing pointed in opposite directions. Every gradient computed in every training run rides on that connection. Most engineers use it daily and have never seen the proof that makes it legal. Watch the board work in the middle. He builds the link line by line, real students in the room, no software, no animation. A machine learning engineer I know rewatched it before an interview and said the chain from loss to update finally read as 1 object instead of 3 tricks. Full course free on YouTube under Creative Commons. You've been using the theorem. You've never seen it earned.

obssnnn

123,196 просмотров • 11 дней назад

An MIT professor solved the equation Wall Street pays $500K for, in a lecture about how to find the top of a hill. MIT put the whole thing online. it has been free for years. almost nobody finishes it. his point: finding the best possible answer to almost anything is one move. write down what you want to grow, take the derivative, and find the exact spot where it stops climbing. that spot is the answer. he is Denis Auroux, and his 18.02 lectures have taught more people calculus than most universities have students. now the equation from the post above, the one that tells you exactly how much to bet. it is not a secret formula. it is this. the growth of your money is a curve. bet too little and you are low on the hill. bet too much and you have gone over the top and started falling. Kelly's number is just the peak. no magic. no fund. one hill, and the single point where it stops going up. a quant I know rewatches this exact lecture before he sizes a single position. you were handed the formula and told to trust it. Auroux shows you where it actually comes from, for free, and it has been sitting there the whole time.
38:17

An MIT professor solved the equation Wall Street pays $500K for, in a lecture about how to find the top of a hill. MIT put the whole thing online. it has been free for years. almost nobody finishes it. his point: finding the best possible answer to almost anything is one move. write down what you want to grow, take the derivative, and find the exact spot where it stops climbing. that spot is the answer. he is Denis Auroux, and his 18.02 lectures have taught more people calculus than most universities have students. now the equation from the post above, the one that tells you exactly how much to bet. it is not a secret formula. it is this. the growth of your money is a curve. bet too little and you are low on the hill. bet too much and you have gone over the top and started falling. Kelly's number is just the peak. no magic. no fund. one hill, and the single point where it stops going up. a quant I know rewatches this exact lecture before he sizes a single position. you were handed the formula and told to trust it. Auroux shows you where it actually comes from, for free, and it has been sitting there the whole time.

Loran

92,685 просмотров • 7 дней назад

Marvin Minsky, MIT professor and father of AI: "The best trader on Wall Street is no longer human. I spent fifty years proving the mind is just a machine built from smaller machines, and once that's true, nothing stops a machine from being the house. it already is." this free lecture holds the entire "AI edge" the funds and the gurus sell, and the man teaching it founded the field itself and put his whole MIT course online for free. at the board it's simple. Minsky's idea is that there is no magic in thinking. a mind is a huge pile of small, mindless parts, each doing something simple, and intelligence is just what happens when enough of them work together. a trading machine is the same trick: thousands of simple rules stacked until an edge appears. that's the whole "AI", minus the mystery. Minsky taught this at MIT and published "The Society of Mind" in 1986. the course has been free ever since. same point as my casino piece above: the house wins with many small mindless advantages stacked, not with one born genius. the ideas are free and every AI lab and every fund already has them. what they cannot sell you is the data and the compute to actually build the machine. that is the real moat now, and no lecture can hand it to you.
1:56:06

Marvin Minsky, MIT professor and father of AI: "The best trader on Wall Street is no longer human. I spent fifty years proving the mind is just a machine built from smaller machines, and once that's true, nothing stops a machine from being the house. it already is." this free lecture holds the entire "AI edge" the funds and the gurus sell, and the man teaching it founded the field itself and put his whole MIT course online for free. at the board it's simple. Minsky's idea is that there is no magic in thinking. a mind is a huge pile of small, mindless parts, each doing something simple, and intelligence is just what happens when enough of them work together. a trading machine is the same trick: thousands of simple rules stacked until an edge appears. that's the whole "AI", minus the mystery. Minsky taught this at MIT and published "The Society of Mind" in 1986. the course has been free ever since. same point as my casino piece above: the house wins with many small mindless advantages stacked, not with one born genius. the ideas are free and every AI lab and every fund already has them. what they cannot sell you is the data and the compute to actually build the machine. that is the real moat now, and no lecture can hand it to you.

Voltex

27,976 просмотров • 18 дней назад

Wall Street charges $500,000 for probability. an IIT professor put the real thing on YouTube for nothing over a decade ago. 160,000 people watched him define a coin flip properly. almost none of them ever traded on it. his subject is the axioms under every bet. what a probability actually is, before you dare size a position on it. every quant in 2026 is standing on this, most just skipped the lecture. Jagannathan teaches this to the IIT engineers who end up on the desks. no upsell, no thumbnail. the foundation of your whole post sits there with fewer views than a phone review. skip to where he refuses to hand-wave. he builds "the chance of heads" from the ground up, slow, rigorous, the way the people who keep the money were taught. no ticker. no hype. one chalkboard and the axioms. a quant I know says half his desk learned probability from this exact free course, not from their finance degree. you are a decade late. it is still free.
34:14

Wall Street charges $500,000 for probability. an IIT professor put the real thing on YouTube for nothing over a decade ago. 160,000 people watched him define a coin flip properly. almost none of them ever traded on it. his subject is the axioms under every bet. what a probability actually is, before you dare size a position on it. every quant in 2026 is standing on this, most just skipped the lecture. Jagannathan teaches this to the IIT engineers who end up on the desks. no upsell, no thumbnail. the foundation of your whole post sits there with fewer views than a phone review. skip to where he refuses to hand-wave. he builds "the chance of heads" from the ground up, slow, rigorous, the way the people who keep the money were taught. no ticker. no hype. one chalkboard and the axioms. a quant I know says half his desk learned probability from this exact free course, not from their finance degree. you are a decade late. it is still free.

Rossst.03

917,001 просмотров • 4 дней назад

Alan Oppenheim, MIT professor: "Jump Trading pays quants $650K to pull one real signal out of market noise. I wrote the textbook on that exact math and taught it for free." this free MIT lecture is the math the whole "quant edge" is built on, and almost nobody selling you a course will name it. the man teaching it wrote the signal-processing textbook every engineer on earth learned from, and he put the lectures online for nothing. here is the idea. a price chart is a signal buried in noise. most of what you see is random static, and hidden inside is a faint, repeating pattern with real mathematics for pulling it out. that is not a metaphor. jim simons was a codebreaker who did exactly this to enemy transmissions, then pointed the same math at the market and made a hundred billion dollars. none of it is new. oppenheim taught this in 1987, the math is older, and every lecture is free. same story i told in the article above. the edge was never a secret formula. it was knowing a market is a noisy signal, and having the tools to read it. here is what the gurus skip. the math to separate signal from noise is free and everyone has it. the edge is cleaner data than the next desk, and the discipline to trust a faint signal across thousands of trades instead of chasing the static. the filter is free. the patience to use it is not.
29:44

Alan Oppenheim, MIT professor: "Jump Trading pays quants $650K to pull one real signal out of market noise. I wrote the textbook on that exact math and taught it for free." this free MIT lecture is the math the whole "quant edge" is built on, and almost nobody selling you a course will name it. the man teaching it wrote the signal-processing textbook every engineer on earth learned from, and he put the lectures online for nothing. here is the idea. a price chart is a signal buried in noise. most of what you see is random static, and hidden inside is a faint, repeating pattern with real mathematics for pulling it out. that is not a metaphor. jim simons was a codebreaker who did exactly this to enemy transmissions, then pointed the same math at the market and made a hundred billion dollars. none of it is new. oppenheim taught this in 1987, the math is older, and every lecture is free. same story i told in the article above. the edge was never a secret formula. it was knowing a market is a noisy signal, and having the tools to read it. here is what the gurus skip. the math to separate signal from noise is free and everyone has it. the edge is cleaner data than the next desk, and the discipline to trust a faint signal across thousands of trades instead of chasing the static. the filter is free. the patience to use it is not.

Rossst.03

269,381 просмотров • 1 месяц назад

Gilbert Strang, a quiet MIT professor, picked up a piece of chalk and explained the one skill standing between you and every account you have ever blown. MIT put the entire course online. it has been free for over twenty years. almost nobody finishes it. His point: the market never pays in certainties. it pays in probabilities, and a human gut can barely hold one straight. the math that holds ten thousand at once, weighs them, and collapses them into a single call is linear algebra. it is the branch Citadel and OpenAI both pay $400K to hire for. he is not a trading guru. his 18.06 lectures are the most watched math class on the planet. Skip to where he turns a wall of numbers into one vector. a single object carrying a thousand odds at once, in notation a beginner can follow. No slides. no jargon. one piece of chalk. a quant I know rewatches lecture one every year before he sizes a single position. You do not have a strategy problem. you have a math problem. the fix has been free for two decades, and you are still guessing.
39:31

Gilbert Strang, a quiet MIT professor, picked up a piece of chalk and explained the one skill standing between you and every account you have ever blown. MIT put the entire course online. it has been free for over twenty years. almost nobody finishes it. His point: the market never pays in certainties. it pays in probabilities, and a human gut can barely hold one straight. the math that holds ten thousand at once, weighs them, and collapses them into a single call is linear algebra. it is the branch Citadel and OpenAI both pay $400K to hire for. he is not a trading guru. his 18.06 lectures are the most watched math class on the planet. Skip to where he turns a wall of numbers into one vector. a single object carrying a thousand odds at once, in notation a beginner can follow. No slides. no jargon. one piece of chalk. a quant I know rewatches lecture one every year before he sizes a single position. You do not have a strategy problem. you have a math problem. the fix has been free for two decades, and you are still guessing.

Loran

47,161 просмотров • 9 дней назад

In 2013 a Wall Street risk boss walked up to an MIT chalkboard and gave away the exact math desks charge $400,000 a year to run. MIT filmed it. it has been free for 13 years. 7.9 million people pressed play and almost none of them changed a thing. his point: the Wall Street edge was never a secret. it is a first lecture. options, risk, how a payout is actually built. every prediction-market trader hunting an edge in 2026 is chasing what Jake Xia put on a board in hour one of a free class. he ran risk for a living, not a channel. the video outdrew most blockbusters and still moved almost no one, because watching is not doing. skip to where he prices risk. he takes the thing quant threads sell for $500 and builds it from zero, slow enough for a beginner to follow. no paywall. no NDA. one board and a marker. a quant I know sends this link to every junior who whines the math is too hard. you are 13 years late. it is still free.
1:00:07

In 2013 a Wall Street risk boss walked up to an MIT chalkboard and gave away the exact math desks charge $400,000 a year to run. MIT filmed it. it has been free for 13 years. 7.9 million people pressed play and almost none of them changed a thing. his point: the Wall Street edge was never a secret. it is a first lecture. options, risk, how a payout is actually built. every prediction-market trader hunting an edge in 2026 is chasing what Jake Xia put on a board in hour one of a free class. he ran risk for a living, not a channel. the video outdrew most blockbusters and still moved almost no one, because watching is not doing. skip to where he prices risk. he takes the thing quant threads sell for $500 and builds it from zero, slow enough for a beginner to follow. no paywall. no NDA. one board and a marker. a quant I know sends this link to every junior who whines the math is too hard. you are 13 years late. it is still free.

Loran

149,714 просмотров • 6 дней назад

A Fields Medalist stood on a stage in the 1960s and taught the geometry every gradient moves through. The film went missing for years. This is John Milnor, lecture 1 on differential topology, filmed by the Mathematical Association of America soon after he won the Fields Medal in 1962. He was in his early 30s. The same lectures became Topology from the Differentiable Viewpoint, a book still assigned 60 years later and short enough to read in a week. Smooth maps, manifolds, regular values. The vocabulary under every loss surface, every latent space, every paper with the word manifold in the abstract. Watch what he writes at the top of the board and how little he needs after it. No slides, no notation dumped on the room, each definition doing real work. A research engineer I know worked through the book alongside the film and said the two together beat every modern course he tried. The footage was unavailable for years. It sits free on YouTube now, black and white, 1 fixed camera. The best textbook in the field is a transcript of this room.
51:41

A Fields Medalist stood on a stage in the 1960s and taught the geometry every gradient moves through. The film went missing for years. This is John Milnor, lecture 1 on differential topology, filmed by the Mathematical Association of America soon after he won the Fields Medal in 1962. He was in his early 30s. The same lectures became Topology from the Differentiable Viewpoint, a book still assigned 60 years later and short enough to read in a week. Smooth maps, manifolds, regular values. The vocabulary under every loss surface, every latent space, every paper with the word manifold in the abstract. Watch what he writes at the top of the board and how little he needs after it. No slides, no notation dumped on the room, each definition doing real work. A research engineer I know worked through the book alongside the film and said the two together beat every modern course he tried. The footage was unavailable for years. It sits free on YouTube now, black and white, 1 fixed camera. The best textbook in the field is a transcript of this room.

the lich

29,681 просмотров • 9 дней назад

A hedge fund returned 50% a year for ten years straight. In 2005 the man who ran it sat on a desk at Columbia and taught the entire method to 30 students for free. No bank, no fund, no business school has ever promoted the recording. His name is Joel Greenblatt. He ran Gotham Capital from 1985 to 1994. Almost nobody sustains 50% annually for a single year. He did it for ten. Then in 1995 he returned all outside capital, kept running his own money, and walked into a classroom. The first lecture is about corners of the market where the usual buyers are structurally forced to sell regardless of price. Spinoffs, restructurings, situations where an index fund must dump a stock the day it leaves the index. He does not teach a screener or a formula. He teaches why these corners exist at all, and why they keep existing after everybody knows about them. The uncomfortable part is what he says about diversification. He held very few positions. It runs directly against everything the business school teaches two floors down. Columbia charges $80K a year in tuition. The man upstairs gave away the method for free. Every screener is free now. Every filing is searchable. The constraint was never information. It was knowing which information to ignore. Filmed from the back row, audio uneven, students blocking the frame. He gave away 50% a year to a room of 30 people. Almost nobody traded on it. One classroom. One camera. The full lecture is free. It is in the video.
1:08:49

A hedge fund returned 50% a year for ten years straight. In 2005 the man who ran it sat on a desk at Columbia and taught the entire method to 30 students for free. No bank, no fund, no business school has ever promoted the recording. His name is Joel Greenblatt. He ran Gotham Capital from 1985 to 1994. Almost nobody sustains 50% annually for a single year. He did it for ten. Then in 1995 he returned all outside capital, kept running his own money, and walked into a classroom. The first lecture is about corners of the market where the usual buyers are structurally forced to sell regardless of price. Spinoffs, restructurings, situations where an index fund must dump a stock the day it leaves the index. He does not teach a screener or a formula. He teaches why these corners exist at all, and why they keep existing after everybody knows about them. The uncomfortable part is what he says about diversification. He held very few positions. It runs directly against everything the business school teaches two floors down. Columbia charges $80K a year in tuition. The man upstairs gave away the method for free. Every screener is free now. Every filing is searchable. The constraint was never information. It was knowing which information to ignore. Filmed from the back row, audio uneven, students blocking the frame. He gave away 50% a year to a room of 30 people. Almost nobody traded on it. One classroom. One camera. The full lecture is free. It is in the video.

Tigerflow

1,208,399 просмотров • 1 день назад

An MIT professor explained the one idea funds pay $500K for, and he does it in the first hour of freshman calculus. MIT put the whole lecture online. it has been free for twenty years. almost nobody finishes it. his point: calculus is not a hundred formulas to memorize. it is one idea. take two points on a curve, slide them together until the gap vanishes, and the slope you are left with is the derivative. everything else is just consequences. he is David Jerison, and his 18.01 lectures have taught more people calculus than any room on earth. skip to the board, where the power rule, the product rule, the chain rule, the fifty things you were forced to memorize, all fall out of that one limit. no formula sheet. no tricks. one definition, reused. that same slope is velocity. it is marginal cost. it is the gradient that trains a neural network. one operation, hiding everywhere something moves. the math is free. what nobody can sell you is the patience to understand the one limit instead of cramming the fifty formulas that fall out of it. that hour is the foundation, and it is the only part that ever pays.
50:54

An MIT professor explained the one idea funds pay $500K for, and he does it in the first hour of freshman calculus. MIT put the whole lecture online. it has been free for twenty years. almost nobody finishes it. his point: calculus is not a hundred formulas to memorize. it is one idea. take two points on a curve, slide them together until the gap vanishes, and the slope you are left with is the derivative. everything else is just consequences. he is David Jerison, and his 18.01 lectures have taught more people calculus than any room on earth. skip to the board, where the power rule, the product rule, the chain rule, the fifty things you were forced to memorize, all fall out of that one limit. no formula sheet. no tricks. one definition, reused. that same slope is velocity. it is marginal cost. it is the gradient that trains a neural network. one operation, hiding everywhere something moves. the math is free. what nobody can sell you is the patience to understand the one limit instead of cramming the fifty formulas that fall out of it. that hour is the foundation, and it is the only part that ever pays.

Loran

1,065,747 просмотров • 9 дней назад

David MacKay, Cambridge professor: "Citadel and Jane Street pay $900K for people who get one idea I taught free at Cambridge: information is measurable, and whoever measures it best wins. the casino knew it first. the machines know it now." this free lecture holds the entire "secret alpha" the funds and the AI gurus sell, and the man teaching it put his whole course and his whole book online for free and never locked a single page. at the board it's simple. information is just how much a signal cuts your uncertainty, and you can measure it in exact bits. the more an edge shrinks what you don't know, the more it is worth, and Shannon proved there is a hard ceiling on how fast you can compound it into money. that is the whole "edge", and the whole "AI magic", minus the marketing. MacKay taught it at Cambridge and gave the book away free in 2003. it has been free ever since. same point as the casino piece above: the house wins with a small, measurable edge, repeated and sized right, not with a secret. the theory is free and every fund and every model already runs on it. what they cannot sell you is the data to feed the machine and the discipline to size the bet. that is the part that actually compounds, and no course can put it in a formula.
1:00:58

David MacKay, Cambridge professor: "Citadel and Jane Street pay $900K for people who get one idea I taught free at Cambridge: information is measurable, and whoever measures it best wins. the casino knew it first. the machines know it now." this free lecture holds the entire "secret alpha" the funds and the AI gurus sell, and the man teaching it put his whole course and his whole book online for free and never locked a single page. at the board it's simple. information is just how much a signal cuts your uncertainty, and you can measure it in exact bits. the more an edge shrinks what you don't know, the more it is worth, and Shannon proved there is a hard ceiling on how fast you can compound it into money. that is the whole "edge", and the whole "AI magic", minus the marketing. MacKay taught it at Cambridge and gave the book away free in 2003. it has been free ever since. same point as the casino piece above: the house wins with a small, measurable edge, repeated and sized right, not with a secret. the theory is free and every fund and every model already runs on it. what they cannot sell you is the data to feed the machine and the discipline to size the bet. that is the part that actually compounds, and no course can put it in a formula.

Rossst.03

24,939 просмотров • 20 дней назад

This fake news is still on CNN's website. There was no shooting at the distribution centers. What was there was 15,000 aid packages distributed this morning in a record time of 45 minutes. Hamas is in a panic, unable to loot the aid and, most importantly, no longer controls the Gazan population that is crying out for it. Its rule in the Strip is collapsing and all it has left is to spread lies through its aides in the global media. The lie was exposed. The security cameras from the distribution site number 1 at the time of the alleged fatal shooting proves there was NO shooting and NO injuries.
4:41

This fake news is still on CNN's website. There was no shooting at the distribution centers. What was there was 15,000 aid packages distributed this morning in a record time of 45 minutes. Hamas is in a panic, unable to loot the aid and, most importantly, no longer controls the Gazan population that is crying out for it. Its rule in the Strip is collapsing and all it has left is to spread lies through its aides in the global media. The lie was exposed. The security cameras from the distribution site number 1 at the time of the alleged fatal shooting proves there was NO shooting and NO injuries.

Cheryl E 🇮🇱🇮🇱🇮🇱🎗️

14,462 просмотров • 1 год назад

Jeff Bezos looked at a government waiting room and priced it at a hundred billion dollars. Bezos: “This is a $100 billion business, by the way. This is huge business.” That number is not ambition. It is a measurement. A company that size does not create a hundred billion dollars of new value here. It recovers a hundred billion that is already being destroyed, on schedule, in public, by a process everyone has agreed to call normal. The size of the opportunity is the size of the wound. Bezos: “They almost always say yes, they just make you wait a long time.” So the verdict was never in question. Only the delivery date. Which means the months bought nothing. They were storage. Your project sat in a room while the word yes waited its turn to be said. Nobody in there was deciding. Someone was scheduling. And the room bills by the day. Suarez: “The daily carrying cost, one day of interest, 200 to $400,000 per day.” Now find the recipient. There isn’t one. No school funded, no inspector paid, no safety review performed. A tax at least moves money into someone’s hands. This deletes it at four hundred thousand a day, and every dollar was real before the queue touched it. Bezos: “And that doesn’t count the frustration.” Count it anyway. It lands on a body long before it lands on a spreadsheet. Suarez: “Which is infinite. I have some white hairs as a result of this stuff.” That is the invoice. The money has a rate. The rest gets charged to the man, and he pays it whether the answer comes back yes or no. No one has ever been refunded a year. Every other cost in this economy can be hedged, insured, refinanced, or written off. Waiting is the only one that is final. A man will forgive being told no. He will never get back the time he spent standing there waiting to be told yes. We built a civilization that can move a decision at the speed of light and still schedule it at the speed of a man’s hair turning white. Bezos: “It should give you a yes or a no in 10 seconds. And if the answer is no, it should tell you the 6 things you have to change to get a yes.” For four thousand years the wait was honest. Someone had to hold the entire code in one head and walk it line by line against your drawings. Reading was slow because reading was human. That stopped being true in less time than it takes to approve one building. Bezos: “Maybe with AI it can just read all the plans. And it knows all the codes. Spit it out.” The constraint is gone. The wait stayed. Anything still moving at the old speed after the cost of thinking collapsed is not slow. It is choosing. The queue never protected you from a bad building. It protected a signature from a bad outcome. Nobody gets fired for the wait. They get fired for the answer. An institution has no lifespan, so time costs it nothing. You have one, so time is the only thing it can take. Every queue is a trade between something that dies and something that doesn’t, and only one side is ever charged. That trade held for the whole of recorded history because the mortal side had no leverage. It does now. Somebody is going to build this. A hundred billion does not sit in a waiting room forever. And the day it exists, the wait stops being a fact of the world and becomes a decision with a name attached. The hundred billion was never the prize. It is the receipt for how long we agreed to stand there. We are the first people alive who get to stop signing it.
1:55

Jeff Bezos looked at a government waiting room and priced it at a hundred billion dollars. Bezos: “This is a $100 billion business, by the way. This is huge business.” That number is not ambition. It is a measurement. A company that size does not create a hundred billion dollars of new value here. It recovers a hundred billion that is already being destroyed, on schedule, in public, by a process everyone has agreed to call normal. The size of the opportunity is the size of the wound. Bezos: “They almost always say yes, they just make you wait a long time.” So the verdict was never in question. Only the delivery date. Which means the months bought nothing. They were storage. Your project sat in a room while the word yes waited its turn to be said. Nobody in there was deciding. Someone was scheduling. And the room bills by the day. Suarez: “The daily carrying cost, one day of interest, 200 to $400,000 per day.” Now find the recipient. There isn’t one. No school funded, no inspector paid, no safety review performed. A tax at least moves money into someone’s hands. This deletes it at four hundred thousand a day, and every dollar was real before the queue touched it. Bezos: “And that doesn’t count the frustration.” Count it anyway. It lands on a body long before it lands on a spreadsheet. Suarez: “Which is infinite. I have some white hairs as a result of this stuff.” That is the invoice. The money has a rate. The rest gets charged to the man, and he pays it whether the answer comes back yes or no. No one has ever been refunded a year. Every other cost in this economy can be hedged, insured, refinanced, or written off. Waiting is the only one that is final. A man will forgive being told no. He will never get back the time he spent standing there waiting to be told yes. We built a civilization that can move a decision at the speed of light and still schedule it at the speed of a man’s hair turning white. Bezos: “It should give you a yes or a no in 10 seconds. And if the answer is no, it should tell you the 6 things you have to change to get a yes.” For four thousand years the wait was honest. Someone had to hold the entire code in one head and walk it line by line against your drawings. Reading was slow because reading was human. That stopped being true in less time than it takes to approve one building. Bezos: “Maybe with AI it can just read all the plans. And it knows all the codes. Spit it out.” The constraint is gone. The wait stayed. Anything still moving at the old speed after the cost of thinking collapsed is not slow. It is choosing. The queue never protected you from a bad building. It protected a signature from a bad outcome. Nobody gets fired for the wait. They get fired for the answer. An institution has no lifespan, so time costs it nothing. You have one, so time is the only thing it can take. Every queue is a trade between something that dies and something that doesn’t, and only one side is ever charged. That trade held for the whole of recorded history because the mortal side had no leverage. It does now. Somebody is going to build this. A hundred billion does not sit in a waiting room forever. And the day it exists, the wait stops being a fact of the world and becomes a decision with a name attached. The hundred billion was never the prize. It is the receipt for how long we agreed to stand there. We are the first people alive who get to stop signing it.

Dustin

16,614 просмотров • 3 дней назад

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓
39:31

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

slash1s

433,140 просмотров • 1 месяц назад

The smartest man at Bell Labs found a way to make money from a stock that goes nowhere. up 40%, down 40%, flat on the year, and you still walk away richer. he barely wrote it down. it survived in a black-and-white MIT lecture from 1970. it has been free ever since. almost nobody has watched it. the idea: your money does not grow by adding, it grows by multiplying. and the second you switch from adding to multiplying, one function quietly runs everything: the logarithm. the man at the board is Herb Gross, MIT, whose 1970 calculus course taught more traders their own math than most finance degrees ever will. here is the part that pays. growth compounds along a curve that bends, and that bend is the whole secret. because it bends, a volatile stock that goes nowhere can be turned into real profit. hold it, rebalance it, buy low and sell high on autopilot, and the wiggle itself becomes the return. no ticker. no forecast. one curve, and the way it bends. Bell Labs called it Shannon's Demon: money out of a stock that never moved. it lives inside the logarithm Gross draws on the board. the stock did nothing. the math did everything. it has been free since 1970, and almost no one bothered to learn the one function that turns motion into money.
33:58

The smartest man at Bell Labs found a way to make money from a stock that goes nowhere. up 40%, down 40%, flat on the year, and you still walk away richer. he barely wrote it down. it survived in a black-and-white MIT lecture from 1970. it has been free ever since. almost nobody has watched it. the idea: your money does not grow by adding, it grows by multiplying. and the second you switch from adding to multiplying, one function quietly runs everything: the logarithm. the man at the board is Herb Gross, MIT, whose 1970 calculus course taught more traders their own math than most finance degrees ever will. here is the part that pays. growth compounds along a curve that bends, and that bend is the whole secret. because it bends, a volatile stock that goes nowhere can be turned into real profit. hold it, rebalance it, buy low and sell high on autopilot, and the wiggle itself becomes the return. no ticker. no forecast. one curve, and the way it bends. Bell Labs called it Shannon's Demon: money out of a stock that never moved. it lives inside the logarithm Gross draws on the board. the stock did nothing. the math did everything. it has been free since 1970, and almost no one bothered to learn the one function that turns motion into money.

Loran

233,951 просмотров • 7 дней назад

A man kept his seed phrase off the internet to stay safe. The police put it on the internet for him. > His name was never released. > He wrote his seed phrase by hand and kept it in his car. > Nevada police pulled him over and searched the vehicle. > An officer unfolded the paper and held it directly in front of the bodycam. > Every word clearly visible and fully recorded. > The footage was released publicly as part of standard bodycam disclosure. > Bitcoin developer Jameson Lopp found it and posted it online. > It went viral within hours. > Anyone who watched the video had full access to his wallet. > The wallet was reportedly drained shortly after the footage spread. > The amount claimed to have been lost was $1.1 million. > No official report was ever filed. No name was ever released. He did everything right. Kept it offline. Kept it physical. The one thing he never planned for was a police officer pointing a camera at it.
0:30

A man kept his seed phrase off the internet to stay safe. The police put it on the internet for him. > His name was never released. > He wrote his seed phrase by hand and kept it in his car. > Nevada police pulled him over and searched the vehicle. > An officer unfolded the paper and held it directly in front of the bodycam. > Every word clearly visible and fully recorded. > The footage was released publicly as part of standard bodycam disclosure. > Bitcoin developer Jameson Lopp found it and posted it online. > It went viral within hours. > Anyone who watched the video had full access to his wallet. > The wallet was reportedly drained shortly after the footage spread. > The amount claimed to have been lost was $1.1 million. > No official report was ever filed. No name was ever released. He did everything right. Kept it offline. Kept it physical. The one thing he never planned for was a police officer pointing a camera at it.

Jeremy

301,167 просмотров • 4 месяцев назад